Top Healthtech Data & Analytics Jobs

Senior technical data analyst who develops and deploys analytics, builds advanced reports and visualizations, communicates insights to senior leaders, mentors junior analysts, and applies product/project management practices to align analytic projects with clinical and operational goals.

Design, build, and maintain scalable end-to-end data pipelines and enterprise data platform components (Snowflake/Python/dbt). Lead architecture, mentor engineers, implement CI/CD, automated testing, and collaborate with stakeholders to deliver healthcare-focused data solutions (payer claims, attribution).

Provide specialist advice and training on bibliometrics, altmetrics and research evaluation. Produce high-quality reports and recommendations, build relationships with researchers and stakeholders, deliver capability-building activities, and contribute to team planning and library goals to maximise research visibility and impact.

The Market Access Analytics Manager develops reports and dashboards utilizing Real-World Evidence for market access, managing end-to-end projects from strategy through analysis and presentation.

Support territory mapping for Outreach team, build analytical models for workforce planning, and partner with leadership for hiring decisions while using AI tools.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

The Senior Data Platform Manager will lead data pipeline design, collaborate with stakeholders, implement security practices, and manage a team, improving data systems.

Provide data analytics support for construction scheduling and field operations: become SME on related datasets, build and maintain dashboards, validate and cleanse data, recommend process and tooling improvements, collaborate with business leaders and technology partners to deliver insights that inform operational decisions.

Provide analytic and consultative support to internal customers; translate requirements into decision-support applications; model data flows; develop complex programs and reports (SAS, R, SQL) using enterprise databases; propose and lead data-driven solutions; prepare findings and presentations for stakeholders; define data policies and security frameworks.